Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

作     者：Jin, Mengzhe Li, Hao Liu, Shanghe 

作者机构：Shijiazhuang Tiedao Univ Hebei Key Lab Electromagnet Environm Effects & In Shijiazhuang 050003 Hebei Peoples R China Army Engn Univ PLA Natl Key Lab Electromagnet Environm Effects Shijiazhuang 050043 Hebei Peoples R China 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2022年第22卷第21期

页      面：8538-8538页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Natural Science Foundation of China [61801309, 51807123] "Rail Transit Electromagnetic Environmental Effect Research and Test Platform Construction Project" by China Railway Signal & Communication Corp [2020ZX07] 

主　　题：transient electromagnetic pulse measurement D-dot sensor system identification Hammerstein nonlinear model system compensation sensor calibration broadband system electromagnetic compatibility 

摘      要：The measurement of the transient pulsed electromagnetic (EM) field is essential for analyzing electromagnetic compatibility. Due to their good performance, D-dot sensors, combined with numerical integration computation for signal recovery, are commonly used to measure electromagnetic pulses (EMPs). However, the integration approach is occasionally flawed due to a non-ideal frequency response or noise, causing distortions in the reconstructed signal. In order to better understand the dynamic performance of the sensor, a nonlinear Hammerstein model is employed in the system identification for the sensor with the calibration data collected in the laboratory environment. When identifying the linear component based on the ultra-wideband characteristics of the measured transient pulse, a two-step identification approach with two different pulse excitation modes, low frequency and high frequency, is utilized to conduct the modeling across the entire frequency range. Based on the reliable identification and modeling of the D-dot sensor, a compensation system that corresponds to the nonlinear Hammerstein model has been developed for the practical signal recovery of the incident E-field. After compensation, the dynamic characteristics of the sensor are significantly improved, and the system compensation approach outperforms the integration method in signal recovery for the incident E-field.